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US Patent 10346748 Quantum processor problem compilation

Patent 10346748 was granted and assigned to President and Fellows of Harvard College on July, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
‌
President and Fellows of Harvard College
Current Assignee
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President and Fellows of Harvard College
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10346748
Date of Patent
July 9, 2019
Patent Application Number
14908260
Date Filed
July 25, 2014
Patent Citations Received
0
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US Patent 11954562 Modular control in a quantum computing system
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US Patent 11989256 Method and system for solving the Lagrangian dual of a constrained binary quadratic programming problem using a quantum annealer
0
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US Patent 11514134 Method and system for solving the Lagrangian dual of a constrained binary quadratic programming problem using a quantum annealer
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US Patent 10963793 Quantum processor problem compilation
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US Patent 11651305 Achieving feasibility of optimization constraints
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US Patent 11863279 Quantum optimization for multiple input and multiple output (MIMO) processing
0
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US Patent 11947506 Method and system for mapping a dataset from a Hilbert space of a given dimension to a Hilbert space of a different dimension
0
Patent Primary Examiner
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Ajay Ojha
Patent abstract

Solution of a problem of determining values of a set of N problem variables x, makes use of a quantum processor that has a limited number of hardware elements for representing quantum bits and/or limitations on coupling between quantum bits. A method includes accepting a specification of the problem that includes a specification of a set of terms where each term corresponds to a product of at least three variables and is associated with a non-zero coefficient. A set of ancilla variables, each ancilla variable corresponding to a pair of problem variables, is determined by applying an optimization procedure to the specification of the set of the terms. The accepted problem specification is then transformed according to the determined ancilla variables to form a modified problem specification for use in configuring the quantum processor and solution of problem.

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